Mei‐Hsin Su

808 total citations
21 papers, 155 citations indexed

About

Mei‐Hsin Su is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Psychiatry and Mental health. According to data from OpenAlex, Mei‐Hsin Su has authored 21 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Psychiatry and Mental health. Recurrent topics in Mei‐Hsin Su's work include Genetic Associations and Epidemiology (13 papers), Obesity, Physical Activity, Diet (4 papers) and Bipolar Disorder and Treatment (3 papers). Mei‐Hsin Su is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Obesity, Physical Activity, Diet (4 papers) and Bipolar Disorder and Treatment (3 papers). Mei‐Hsin Su collaborates with scholars based in Taiwan, United States and Netherlands. Mei‐Hsin Su's co-authors include Po‐Hsiu Kuo, Chi‐Shin Wu, Shi‐Heng Wang, Chia‐Yen Chen, Po‐Chang Hsiao, Kuang Lin, Yi‐Jiun Pan, Jung Feng, Hao‐Jan Yang and Mong‐Liang Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biological Psychiatry.

In The Last Decade

Mei‐Hsin Su

15 papers receiving 151 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mei‐Hsin Su Taiwan 7 50 40 37 31 27 21 155
Hanna Kische Germany 11 26 0.5× 28 0.7× 72 1.9× 65 2.1× 26 1.0× 34 375
Margrethe Collier Høegh Norway 8 18 0.4× 86 2.1× 45 1.2× 42 1.4× 15 0.6× 16 171
Runde Pan China 5 28 0.6× 31 0.8× 33 0.9× 30 1.0× 29 1.1× 6 211
Yuyanan Zhang China 10 37 0.7× 65 1.6× 35 0.9× 28 0.9× 75 2.8× 31 218
Sylvanus Toikumo United States 7 51 1.0× 16 0.4× 23 0.6× 13 0.4× 9 0.3× 16 145
Zheng Ye United Kingdom 5 75 1.5× 24 0.6× 27 0.7× 17 0.5× 23 0.9× 5 235
Fernanda Talarico Brazil 10 82 1.6× 103 2.6× 44 1.2× 17 0.5× 30 1.1× 19 238
Lea Zillich Germany 8 39 0.8× 25 0.6× 22 0.6× 26 0.8× 8 0.3× 30 194
Valérie Dauriac‐Le Masson France 7 31 0.6× 31 0.8× 60 1.6× 32 1.0× 67 2.5× 25 176
Sumit Mistry United Kingdom 7 141 2.8× 109 2.7× 34 0.9× 20 0.6× 23 0.9× 7 244

Countries citing papers authored by Mei‐Hsin Su

Since Specialization
Citations

This map shows the geographic impact of Mei‐Hsin Su's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mei‐Hsin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Hsin Su more than expected).

Fields of papers citing papers by Mei‐Hsin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Hsin Su. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mei‐Hsin Su. The network helps show where Mei‐Hsin Su may publish in the future.

Co-authorship network of co-authors of Mei‐Hsin Su

This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Hsin Su. A scholar is included among the top collaborators of Mei‐Hsin Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei‐Hsin Su. Mei‐Hsin Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fan, Chun Chieh, Richard Border, Robert Loughnan, et al.. (2025). Spousal correlations for nine psychiatric disorders are consistent across cultures and persistent over generations. Nature Human Behaviour. 9(12). 2539–2547.
2.
Wang, Shi‐Heng, Yen‐Chen Anne Feng, Mei‐Chen Lin, et al.. (2025). Incorporating Polygenic Liability and Family History for Predicting Psychiatric Diseases in the Taiwan Biobank. Biological Psychiatry. 98(6). 485–493.
3.
Hsu, Yu‐Cheng, Mei‐Chen Lin, Mei‐Hsin Su, et al.. (2025). Education as a Modifier of Genetic Influence on Cognitive Ability in Older Adults. Behavior Genetics. 55(5). 384–394.
4.
Pan, Yi‐Jiun, Mei‐Chen Lin, Jyh‐Ming Liou, et al.. (2024). A population-based study of familial coaggregation and shared genetic etiology of psychiatric and gastrointestinal disorders. SHILAP Revista de lepidopterología. 4(1). 180–180. 1 indexed citations
5.
Cheng, Chi‐Fung, Pei‐Chun Chen, Chi‐Shin Wu, et al.. (2024). Familial coaggregation and shared genetic influence between major depressive disorder and gynecological diseases. European Journal of Epidemiology. 39(10). 1161–1170.
6.
Thomas, Nathaniel, John W. Drake, Mei‐Hsin Su, et al.. (2024). The Mechanisms Underlying the Intergenerational Transmission of Substance Use and Misuse: An Integrated Research Approach. Twin Research and Human Genetics. 27(6). 283–294.
7.
Wu, Chi‐Shin, Chia‐Lin Hsu, Mei‐Chen Lin, et al.. (2024). Association of polygenic liabilities for schizophrenia and bipolar disorder with educational attainment and cognitive aging. Translational Psychiatry. 14(1). 472–472. 3 indexed citations
8.
Hsu, Yu‐Cheng, Mei‐Hsin Su, Chia‐Yen Chen, Kuang Lin, & Shi‐Heng Wang. (2024). Associations of Polygenic Risk for Depression, Traditional Chinese Medicine Constitution, and Depression: A Population‐Based Study in Taiwan. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 198(1). e33007–e33007.
9.
10.
Su, Mei‐Hsin, Kuang Lin, Chia‐Yen Chen, et al.. (2023). Relationship between mood disorders and substance involvement and the shared genetic liabilities: A population-based study in Taiwan. Journal of Affective Disorders. 345. 168–176. 1 indexed citations
11.
12.
Su, Mei‐Hsin, Kuang Lin, Pei‐Chun Chen, et al.. (2022). Familial aggregation and shared genetic loading for major psychiatric disorders and type 2 diabetes. Diabetologia. 65(5). 800–810. 15 indexed citations
13.
Su, Mei‐Hsin, Shih‐Cheng Liao, Hsi‐Chung Chen, et al.. (2022). The association of personality polygenic risk score, psychosocial protective factors and suicide attempt in mood disorder. Journal of Psychiatric Research. 156. 422–428. 6 indexed citations
14.
Su, Mei‐Hsin, Kuang Lin, Chia‐Yen Chen, et al.. (2022). Evaluation of the causal relationship between smoking and schizophrenia in East Asia. Schizophrenia. 8(1). 72–72. 1 indexed citations
15.
Wang, Shi‐Heng, Mei‐Hsin Su, Chia‐Yen Chen, et al.. (2022). Causality of abdominal obesity on cognition: a trans-ethnic Mendelian randomization study. International Journal of Obesity. 46(8). 1487–1492. 17 indexed citations
16.
Su, Mei‐Hsin, Chia‐Yen Chen, Kuang Lin, et al.. (2022). Associations of polygenic risks, depression, and obesity-related traits in Taiwan Biobank. Journal of Affective Disorders. 320. 397–403. 13 indexed citations
17.
Wang, Shi‐Heng, Mei‐Hsin Su, Chia‐Yen Chen, et al.. (2020). Association between polygenic liability for schizophrenia and substance involvement: A nationwide population‐based study in Taiwan. Genes Brain & Behavior. 19(5). e12639–e12639. 9 indexed citations
18.
Su, Mei‐Hsin, et al.. (2018). Sleep apnea may be associated with suicidal ideation in adolescents. European Child & Adolescent Psychiatry. 28(5). 635–643. 22 indexed citations
19.
Su, Mei‐Hsin, et al.. (2015). The Associations among Unhealthy Eating Habits, Bad Eating Experiences and Depression in Taiwanese Youths. 34(3). 254–267. 2 indexed citations
20.
Kuo, Po‐Hsiu, Mei‐Hsin Su, Chia‐Hsiang Chen, et al.. (2015). Genome-Wide Association Study for Autism Spectrum Disorder in Taiwanese Han Population. PLoS ONE. 10(9). e0138695–e0138695. 31 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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